Results 61 to 70 of about 24,779 (216)

Construction of Short-length High-rates Ldpc Codes Using Difference Families [PDF]

, 2007
Low-density parity-check (LDPC) code is linear-block error-correcting code defined by sparse parity-check matrix. It isdecoded using the massage-passing algorithm, and in many cases, capable of outperforming turbo code.
Hamdani, D. (Deny), Safrianti, E. (Ery)
core  

Deep Learning Based Design of Binary Signalling for Optical Wireless Communication Systems With 2D Receiver

IET Optoelectronics, Volume 19, Issue 1, January/December 2025.
We apply a deep learning (DL) technique to binary signalling design for optical wireless communication (OWC) system with a 2D LED transmitter array and an arrayed 2D receiver. It is demonstrated that the DL‐based signalling design algorithm is feasible for OWC system, considering physical channel effect. ABSTRACT Recently, deep learning (DL) techniques
Yongwoon Hwang, Chung Ghiu Lee, Soeun Kim   +2 more
wiley   +1 more source

Combinatorial design-based quasi-cyclic LDPC codes with girth eight

Digital Communications and Networks, 2018
This paper presents a novel regular Quasi-Cyclic (QC) Low Density Parity Check (LDPC) codes with column-weight three and girth at least eight. These are designed on the basis of combinatorial design in which subsets applied for the construction of ...
Sina Vafi, Narges Rezvani Majid
doaj   +1 more source

Performance Evaluation of Low Density Parity Check (LDPC) Codes Over Gigabit Ethernet Protocol

Transactions on Networks and Communications, 2016
Error Correcting Low density Parity Check codes enable the communication systems to have a low-power, reliable transmission over  noisy channels and can achieve data rates very close to Shannon limit when iteratively decoded. They are used in many digital communication systems such as digital video broadcasting  (DVB-S2), MIMO-WLAN  (802.11n),  WMAN ...
Rajendra S Gad, Vinaya R Gad, Gourish M Naik, Udaysingh V Rane   +3 more
openaire   +2 more sources

Performance of Cascade and LDPC Codes for Information Reconciliation on Industrial Quantum Key Distribution Systems

IET Quantum Communication, Volume 6, Issue 1, January/December 2025.
This paper evaluates Cascade and LDPC codes for information reconciliation in industrial quantum key distribution systems. We highlight efficient methods for minimising key mismatches and optimising performance by analysing often overlooked aspects and proposing new metrics.
Ronny Mueller, Claudia De Lazzari, Fernando Chirici, Ilaria Vagniluca, Leif Katsuo Oxenløwe, Søren Forchhammer, Alessandro Zavatta, Davide Bacco   +7 more
wiley   +1 more source

Quantum Secure Image Transmission: A Chaos‐Assisted Quantum Key Distribution Approach Using Entanglement

IET Quantum Communication, Volume 6, Issue 1, January/December 2025.
A novel secure image transmission scheme has been proposed using the logistic chaos map and the Ekert protocol. The quantum key distribution can be used to generate seed parameters for classical chaos, thus ensuring a strong encryption method. ABSTRACT The emergence of quantum computing has introduced unprecedented security challenges to conventional ...
Raiyan Rahman, Md Shawmoon Azad, Mohammed Rakibul Hasan, Syed Emad Uddin Shubha, M. R. C. Mahdy   +4 more
wiley   +1 more source

Construction Method of QC-LDPC Codes with Big Girth for Fast Encoding [PDF]

Jisuanji gongcheng, 2018
The sub-matrices on both diagonals of the right half of the check matrix are unit matrices.Existence of the deterministic unit matrix not only destroys the randomness of Quasie Cyclic-Low Density Parity Check(QC-LDPC) code,it leads to a certain loss of ...
PENG Haiying,YANG Jian,SUN Lijun
doaj  

A Fast Convergence Density Evolution Algorithm for Optimal Rate LDPC Codes in BEC

, 2014
We derive a new fast convergent Density Evolution algorithm for finding optimal rate Low-Density Parity-Check (LDPC) codes used over the binary erasure channel (BEC).
Tavakoli, Hassan
core   +1 more source

Methods of Sparse Measurement Matrix Optimization for Compressed Sensing

IET Signal Processing, Volume 2025, Issue 1, 2025.
In compressed sensing (CS), a sparse measurement matrix with few nonzero entries is more competitive than a dense matrix in reducing the number of multiplication units. Recent studies indicate that an optimized measurement matrix having low coherence with a specified dictionary can significantly improve the reconstruction performance.
Renjie Yi, Shunan Han, Peng Liu, Bo Zhang, Hang Liu, Chao Zhai   +5 more
wiley   +1 more source

Blind Recognition Algorithm of Convolutional Code via Convolutional Neural Network

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
Pointing at the vexed question of blind recognition in the convolutional code class, this paper proposes a convolutional code blind identification method via convolutional neural networks (CNNs). First, this algorithm uses the traditional method to generate different convolutional codes, and the feature extraction algorithm adopts the theorem of Euclid’
Pan Deng, Tianqi Zhang, Lianghua Wen, Baoze Ma, Ying Wei, Linhao Cui, Weiwei Jiang   +6 more
wiley   +1 more source